Study on Rotational Speed Feedback Torque Control for Wind Turbine Generator System

Liao, Mingfu; Dong, Lei; Jin, Lu; Wang, Siji

doi:10.1109/iceet.2009.211

Cited by 26 publications

(13 citation statements)

References 3 publications

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“…The principle of ZDC control is the control of PMSG d-axis stator current is 0, so that by the linear electromagnetic torque control to adjust the motor speed [9,10].…”

Section: Power System Kinematicsmentioning

confidence: 99%

Maximum Power Tracking Control for Current Power System Based on Fuzzy-PID Controller

Mao

Huang

Yang

et al. 2015

Intelligent Robotics and Applications

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Abstract. In order to solve the problem of maximum energy capture in the dynamic changing current, the maximum power point tracking (MPPT) control strategy of an extensible vertical-axis blade current power generation system was developed. Consider the current speed with the characteristics of randomness and uncertainties. Affixed set of PID parameters can hardly achieve desired generator speed. Therefore, this paper presents a Fuzzy-PID control, which combines the characteristics of traditional PID and fuzzy control. The simulation results show that the Fuzzy-PID control is able to guarantee desired dynamic characteristics, such as fast response, robustness and stability, and is able to effectively track the maximum power point. IntroductionWith the high speed development of economy, global problems gradually change seriously, such as air pollution, resource shortage and ecological deterioration. In order to solve the energy crisis and air pollution effectively, development of new energy and the use the renewable energy to replace the non-renewable energy have become the trend [1]. The global ocean area is vast, which potential energy is enormous. The ocean current energy mainly includes the kinetic energy of water flow, which has many advantages in comparison to other renewable energy. The ocean current energy has strong regularity and stability, which are predictable. The ocean current generation device lies below sea level, which does not occupy the land area, would not affect the surrounding landscape and would not pollute the environment. Therefore, the development and utilization of the ocean current energy is connected by more and more people [2].

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“…The principle of ZDC control is the control of PMSG d-axis stator current is 0, so that by the linear electromagnetic torque control to adjust the motor speed [9,10].…”

Section: Power System Kinematicsmentioning

confidence: 99%

Maximum Power Tracking Control for Current Power System Based on Fuzzy-PID Controller

Mao

Huang

Yang

et al. 2015

Intelligent Robotics and Applications

View full text Add to dashboard Cite

show abstract

“…Liao et al conducted a research on rotational speed feedback torque control for generator of a wind turbine system. In this study, the mathematical model of wind turbine and a control system was introduced to maximize the power of wind turbine [19]. An optimum fuzzy PI controller was utilized by Sheikhan et al to obtain the maximum power for different speed wind turbines.…”

Section: Introductionmentioning

confidence: 99%

A novel approach to capture the maximum power from variable speed wind turbines using PI controller, RBF neural network and GSA evolutionary algorithm

Assareh

Biglari

2015

Renewable and Sustainable Energy Reviews

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“…Liao et al proposed an analysis on rotational speed response torque control for a wind turbine. In partial load torque control for variable speed wind turbine generators, rotational speed which is considered as response signal, is an important parameter [7]. Sheikhan et al proposed an optimum fuzzy PI controller to obtain the maximum energy output for variable speed wind turbines.…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach to Capture the Maximum Power Generation from Wind Turbines Using Hybrid MLP Neural Network and Bees Algorithm (HNNBA)

Assareh

Biglari

2015

IETE Journal of Research

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Generating maximum possible power by wind turbines at low wind speeds is particularly important. Therefore, in this paper a hybrid method is presented for torque control in wind turbines. According to this method, the torque of wind turbine generator is set through a proportional and integral (PI) controller in such a way that at low wind speeds, the generated power by generator is maximized. In order to set PI controller gains to achieve maximum produced power by generator, multi-layer perceptron neural network is used. The set of optimized data is provided by Bees Algorithm in order to train this neural network. In order to evaluate the results of the proposed method, a 5 MW wind turbine made by NREL (National Renewable Energy Laboratory) is used. The results of simulations indicate the appropriate performance of the proposed method.

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Study on Rotational Speed Feedback Torque Control for Wind Turbine Generator System

Cited by 26 publications

References 3 publications

Maximum Power Tracking Control for Current Power System Based on Fuzzy-PID Controller

Maximum Power Tracking Control for Current Power System Based on Fuzzy-PID Controller

A novel approach to capture the maximum power from variable speed wind turbines using PI controller, RBF neural network and GSA evolutionary algorithm

A Novel Approach to Capture the Maximum Power Generation from Wind Turbines Using Hybrid MLP Neural Network and Bees Algorithm (HNNBA)

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